Senior Hyperscale Production Systems Engineer

Meta; Los Lunas (NM); On-site; USD 144,000 - 204,000; Full time

Job summary

Meta is seeking an experienced Production Systems Engineer to join the Data Center Operations team. This role focuses on analyzing server telemetry to identify automation opportunities and driving solutions through code in a hyperscale environment.

You will collaborate with globally distributed teams, develop diagnostic tooling, and mentor peers while ensuring efficient production server delivery. Travel up to 25% is expected.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering.
• 6+ years in production systems engineering or similar for large-scale hardware.
• Experience with Python, Bash, C/C++ on Linux production environments.
• Experience with production systems including web servers, load balancers, storage, databases, and messaging.
• Strong written communication across engineering and operations.

Responsibilities

• Identify and root cause systemic issues across the server fleet to maximize uptime.
• Write and maintain code for diagnostic and automation tooling.
• Own diagnostic tooling requirements for frontline operations.
• Drive escalation for tooling and hardware issues.
• Validate new product integrations into production.
• Collaborate with tooling teams and influence roadmaps.
• Perform data analysis to prioritize automation opportunities.
• Build relationships and influence policies to improve operations.
• Mentor engineers on fleet issues and tooling improvements.
• Travel up to 25% to support global data center operations.

Skills

Python

Bash

C

C++

Linux

Data analysis

Automation tooling

Communication

Education

Bachelor's degree in Computer Science or related field

Equivalent practical experience

Tools

Infrastructure as Code

Diagnostics tooling

Job description

Meta is seeking an experienced Production Systems Engineer to join the Data Center Operations team. This role focuses on analyzing server telemetry to identify automation opportunities and driving solutions through code in a hyperscale environment.

You will collaborate with globally distributed teams, develop diagnostic tooling, and mentor peers while ensuring efficient production server delivery. Travel up to 25% is expected.